Forest Site and Stand Structure Affecting the Distribution of Emerald Ash Borer, Agrilus planipennis Fairmaire, 1888 (Coleoptera: Buprestidae), in Eastern Ukraine

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F24%3A100529" target="_blank" >RIV/60460709:41320/24:100529 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3390/f15030511" target="_blank" >http://dx.doi.org/10.3390/f15030511</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/f15030511" target="_blank" >10.3390/f15030511</a>

Result language

angličtina

Original language name

Forest Site and Stand Structure Affecting the Distribution of Emerald Ash Borer, Agrilus planipennis Fairmaire, 1888 (Coleoptera: Buprestidae), in Eastern Ukraine

Original language description

The Emerald ash borer (EAB), Agrilus planipennis Fairmaire, 1888 (Coleoptera: Buprestidae), an invasive phloem-boring beetle, was first detected in the Luhansk Region of Ukraine in 2019. Subsequently, it rapidly expanded its presence to encompass a significant portion of the Kharkiv region and the parks of Kyiv. Previous research has established that the climatic conditions in Luhansk and its neighboring regions are conducive to the EAB, and the absence of a host plant (Fraxinus sp.) does not act as a deterrent to the pest's expansion in Ukraine. Recognizing the urgency of identifying infested trees, our current research aimed to identify the most attractive EAB forest subcompartments based on forest site conditions and stand structure. Utilizing the MaxEnt model, we achieved an average performance in predicting the potential distribution of the EAB (AUC = 0.842). The six most impactful variables, contributing to 88.2% of the model, include age of trees, years, area of forest subcompartment, ha, mean height of trees, m, proportion of Fraxinus excelsior in the stand composition, %, hygrotope index (humidity level), point, and number of neighboring-non-forest subcompartments. Most likely, EAB occurrence is expected in the driest forest site conditions; the well-lit and warmed-up parts of stands, in particular; small subcompartments surrounded by non-forest landscapes; and forest shelter belts near roads and fields. However, the data obtained can be considered preliminary. To enhance the accuracy of our forecasting, it may be imperative to consider data on road localization, along which the pest can spread passively, as well as dominant wind speed.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40100 - Agriculture, Forestry, and Fisheries

Project

<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

FORESTS

ISSN

1999-4907

e-ISSN

1999-4907

Volume of the periodical

15

Issue of the periodical within the volume

3.0

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

20

Pages from-to

1-20

UT code for WoS article

001191985700001

EID of the result in the Scopus database

2-s2.0-85188840774